[HTML][HTML] Mining personal data using smartphones and wearable devices: A survey

CS Liew, TY Wah, J Shuja, B Daghighi - Sensors, 2015 - mdpi.com
The staggering growth in smartphone and wearable device use has led to a massive scale
generation of personal (user-specific) data. To explore, analyze, and extract useful …

In-use monitoring of buildings: An overview and classification of evaluation methods

GS Olivia, TA Christopher - Energy and Buildings, 2015 - Elsevier
Differences between the expected and the actual performance of buildings have been
attributed partly to the influence of occupants; post-occupancy evaluations have thus gained …

Semantic management of moving objects: A vision towards smart mobility

S Ilarri, D Stojanovic, C Ray - Expert Systems with Applications, 2015 - Elsevier
This position paper presents our vision for the semantic management of moving objects. We
argue that exploiting semantic techniques in mobility data management can bring valuable …

Map** the big data landscape: technologies, platforms and paradigms for real-time analytics of data streams

T Dubuc, F Stahl, EB Roesch - IEEE Access, 2020 - ieeexplore.ieee.org
TheBig Data'of yesterday is thedata'of today. As technology progresses, new challenges
arise and new solutions are developed. Due to the emergence of Internet of Things …

Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions

MH ur Rehman, CS Liew, TY Wah, MK Khan - Journal of Network and …, 2017 - Elsevier
The convergence of Internet of Things (IoTs), mobile computing, cloud computing, edge
computing and big data has brought a paradigm shift in computing technologies. New …

Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda

M Eggert, J Alberts - Business Research, 2020 - Springer
Researching the field of business intelligence and analytics (BI & A) has a long tradition
within information systems research. Thereby, in each decade the rapid development of …

Opportunistic computation offloading in mobile edge cloud computing environments

MH ur Rehman, SL Chee, TY Wah… - 2016 17th ieee …, 2016 - ieeexplore.ieee.org
The dynamic mobility and limitations in computational power, battery resources, and
memory availability are main bottlenecks in fully harnessing mobile devices as data mining …

Data stream mining in ubiquitous environments: state‐of‐the‐art and current directions

MM Gaber, J Gama, S Krishnaswamy… - … : Data Mining and …, 2014 - Wiley Online Library
In this article, we review the state‐of‐the‐art techniques in mining data streams for mobile
and ubiquitous environments. We start the review with a concise background of data stream …

Platform-based design of wireless sensor networks for industrial applications

A Bonivento, LP Carloni… - Proceedings of the …, 2006 - ieeexplore.ieee.org
We present a methodology, an environment and supporting tools to map an application on a
wireless sensor network (WSN). While the method is quite general, we use extensively an …

Pocket data mining

MM Gaber, JB Gomes, F Stahl - Big data on small devices. Series: Studies …, 2014 - Springer
Thanks to continuing advances in mobile computing technology, it has become possible to
perform complex data processing on-board small handheld devices. It has taken over a …